Data Scientist Temperate Hub Data Integrity
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Job Location:
Durham, NC - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Applied Analytics team is seeking an innovative Data Scientist to support data collection and integrity within the Temperate Hub. This role combines expertise in data science agriculture remote sensing image analysis and machine learning to drive innovation in data capture.
You will support data integrity across the Temperate Hub by developing and validating new data acquisition methods for multiple crops in North America and Europe and will act as a bridge between domain and technical experts to implement novel digital phenotyping methods.
Accountabilities:
- Partner with Germplasm Development and cross-functional teams to streamline data flows leverage diverse data assets across multiple crops and recommend technology investments.
- Test emerging phenotyping technologies and lead innovation through the optimization of high-throughput phenotyping (HTP) protocols for multi-trait capture and integration of multiple data sources.
- Identify data needs and gaps and provide recommendations for enhancing the Temperate Hub data strategy.
- Design and develop machine learning models and scalable workflows for data collection trait prediction and image processing in collaboration with Temperate Hub breeding teams and global Digital R&D teams to translate business needs into technical requirements.
- Consistently document and communicate findings to stakeholders to drive data-driven decision-making and innovation in data collection and modeling approaches.
Qualifications :
- PhD in Plant Breeding Bioinformatics Computational Biology Computer Vision Remote Sensing or related field or Masters degree with proven experience in commercial or academic agricultural settings.
- Technical understanding of commercial plant breeding and germplasm development.
- Experience with phenotyping methods geospatial and remote sensing technologies image processing and computer vision.
- Familiarity with machine learning and deep learning frameworks and libraries for image processing.
- Proficient programming skills in R and/or Python.
- Familiarity with SQL version control workflows software reproducibility tools and cloud-based development environments.
- Experience with visualization tools (R Shiny Tableau etc.) is a plus.
- Demonstrated experience in scientific data analysis and modeling with biological systems.
- Experience with plant breeding quantitative genetics and phenotypic data analysis.
Critical professional and personal capabilities
- Strong growth mindset and willingness to learn and collaborate across diverse global teams
- Experience operating independently in a complex matrix environment
- Objectivity and creativity to determine what customers want what they need and what they dont know they need
- Excellent problem-solving skills and a willingness to own and drive change in complex agricultural processes
- Ability to communicate effectively across teams with varied backgrounds and skillsets
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
WL: 4A
#LI-Hybrid #LI-DO1
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
